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Emotional computer why and how?

Veikko Surakka University of Tampere, Department of Computer Sciences HCI-group (eyetracking, EMG, EEG) Tampere University Hospital CNF-unit (EEG, fMRI). Emotional computer why and how?. People working with this project . HCI-people PsT Veikko Surakka Fm Timo Partala PsM Anne Aula

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Emotional computer why and how?

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  1. Veikko SurakkaUniversity of Tampere,Department of Computer Sciences HCI-group (eyetracking, EMG, EEG)Tampere University HospitalCNF-unit(EEG, fMRI) Emotional computer why and how?

  2. People working with this project HCI-people • PsT Veikko Surakka • Fm Timo Partala • PsM Anne Aula • Fm Poika Isokoski • Psyk. yo Maria Jokiniemi • Psyk. yo Marko Illi Signal analysis people • Prof. Martti Juhola • Fil. yo Jouni Laakso

  3. Contents • Introduction • What are emotions? • Perceptually intelligent machines • Affective Computing • About the measurement • Demonstrations and proposals for NIT-course

  4. WHAT IS AN EMOTION? A reaction including following components • Brain activation • e.g. amygdala • Muscle activation • Face, voice • Emotional experience • Joy, sadness, etc. • Behavioral change • Approach/avoidance

  5. EMOTIONS AFFECT SIGNIFICANTLY TO HUMAN • Information precessing • Memory • Thinking • Health • Interaction • ALTOGETHER TO HUMAN RATIONAL BEHAVIOR

  6. AFFECTIVE COMPUTING, EMOTIONAL COMPUTER • Future generation flexible, learnable, and emotionally responsive user interfaces • These interfaces utilize, for example, ANS activation correlates (e.g. pupil size variation) and (e.g. electric brain potentials) of the user in connecting the user with the computer

  7. AFFECTIVE COMPUTING • It is thought that by implementing emotional processes in HCI computers could be able to same kind of rational behavior than humans • Then the computer would be able to real interaction • The interaction would be more efficient and of much better quality

  8. MEASUREMENT • Bioelectricity based measurement • Videotechnology based measurement • These can be measured in real time • These can also be analyzed almost in real time by the computer

  9. Grass Model 115 8-channel Neurodata Acquisition System

  10. ASL series 4000 eyetracking system Optiikka Ohjausyksikkö

  11. Two proposals • To improve the quality and flexibility of a system in which a computer agent can be driven by biosignals --- Demo • The further development of a visual analysis tool needed in basic research --- Demo

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